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Proceedings of the European Computing Conference

Volume 2

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Nikos Mastorakis

    1. Military Institutes of University, Hellenic Naval Academy, Piraeus, Greece

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  2. Valeri Mladenov

    1. Dept. Theoretical Electrical, Technical University of Sofia, Sofia, Bulgaria

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    You can also search for this editor in PubMed   Google Scholar

  3. Vassiliki T. Kontargyri

    1. Vrilissia, Greece

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  • Presents a collection of papers covering recent advances in computer engineering, systems theory, and computational methods
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 28)

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Table of contents (73 papers)

  1. Computational Techniques and Algorithms

    1. A Top-Down Minimization Algorithm for Non-Deterministic Systems

      • Adrian Zafiu, Stefan Holban
      Pages 185-190

  2. Natural Phenomena and Computer Models

    1. Front Matter

      Pages 191-191
      Download chapter PDF

    2. Multi-Layer Finite Volume Solution of Wind Induced Basin Flow

      • Saeed-Reza Sabbagh-Yazdi, Hamed Arabi, Nikos E. Mastorakis
      Pages 193-201

    3. NASIR Heat Generation and Transfer Solver for RCC Dams

      • Saeed-Reza Sabbagh-Yazdi, Ali-Reza Bagheri, Nikos E. Mastorakis
      Pages 203-213

    4. Water Hammer Modeling Using 2nd Order Godunov Finite Volume Method

      • Saeed-Reza Sabbagh-Yazdi, Ali Abbasi, Nikos E. Mastorakis
      Pages 215-223

    5. Simulation of Wind Pressure on Two Tandem Tanks

      • Saeed-Reza Sabbagh-Yazdi, Farzad Meysami-Azad, Nikos E. Mastorakis
      Pages 225-234

    6. Tropical Cyclone Forecaster Integrated with Case-Based Reasoning

      • James N. K. Liu, Simon C. K. Shiu, Jane You
      Pages 235-241

  3. Knowledge Engineering, Decision Rules and Data Bases

    1. Front Matter

      Pages 243-243
      Download chapter PDF

    2. Toward an Understanding of Knowledge Reuse in an On-Line Environment

      • Hsieh-Hua Yang, Jui-Chen Yu, Hung-Jen Yang
      Pages 245-259

    3. Handling Contradictions in Knowledge Discovery Applications

      • David Anderson
      Pages 261-274

    4. A Cooperative Distributed Query-Processing Approach

      • Saeed K. Rahimi, Frank S. Haug
      Pages 275-285

    5. Estimating Join and Projection Selectivity Factors

      • Carlo dell’ Aquila, Ezio Lefons, Filippo Tangorra
      Pages 287-297

    6. Decision Rules: A Metamodel to Organize Information

      • Sabina-Cristiana Mihalache
      Pages 299-308

    7. A Computerized Solution for the Financial Diagnose of the SMEs

      • Vasile Daniel Păvăloaia
      Pages 309-318

    8. DELP System: Tracking Deadlocks and Phantoms in Databaseas

      • Cristea Boboila, Simona Boboila, Constantin Lupsoiu
      Pages 319-324

    9. Concurrency Control for Multilevel Secure Distributed Real-Time Databases

      • Valuchandhar Vadivelu, S. Albert Rabara
      Pages 325-337

    10. A New Framework for Nondeterministic Multi-valued System Minimization

      • Adrian Zafiu, Ion Stefanescu
      Pages 339-344

  4. Web-Based Applications

    1. Front Matter

      Pages 345-345
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    2. Thread Pool-Based Improvement of the Mean-Value Analysis Algorithm

      • Ágnes Bogárdi-Mészöly, Takeshi Hashimoto, Tihamér Levendovszky, Hassan Charaf
      Pages 347-359

    3. Security Enhancements for Web-Based Applications

      • Shivanand B. Hiremath, Sameer S. Saigaonkar
      Pages 361-373
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Keywords

About this book

Software testing has been considered so important that organizations can assign teams only for testing activities. Testing is an important activity to ensure software quality. Tests are usually run several times to certify that code ma- tenance did not accidentally insert defects into working parts of the software. In such situations, test teams shall be able to estimate the required effort to execute test cases in its schedules and to request more resources or negotiate deadlines when necessary. When regarding model-based testing approaches that we use in our documented Integrated and Optimized Software Testing methodology (IOSTP) [1–4], a high number of test cases can be automatically generated. As team resources are limited, it may be not practical to execute all generated test cases. Their complexity usually determines the effort required to execute them and it can be used for planning test resources and test suites. Several software development estimation models have been proposed over the years. However, these models do not estimate the effort for executing a given test suite, since their estimations are based on software development complexity instead of its test planning, test case design and test execution complexity. According to our reading of the literature (e. g. [5–14]), ‘‘best practices’’ in model-based effort estimation include: Local calibration (or LC); i. e. using local data to set two special tuning parameters; Stratification; i. e. given a database of past projects, and a current project to be estimated, restrict local calibration to just those records from similar projects.

Editors and Affiliations

  • Military Institutes of University, Hellenic Naval Academy, Piraeus, Greece

    Nikos Mastorakis

  • Dept. Theoretical Electrical, Technical University of Sofia, Sofia, Bulgaria

    Valeri Mladenov

  • Vrilissia, Greece

    Vassiliki T. Kontargyri

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